Sr. GenAI Engineer

CGI•Pittsburgh, PA

1d•Onsite

About The Position

CGI is looking to hire a highly skilled Gen AI Engineer with deep traditional AI/ML expertise, including model development, data science, MLOps, and model validation, along with exposure to GenAI and agentic AI patterns such as RAG, orchestration, tool integration, and governed workflow automation. This role will require someone at our client site 5 days a week in Pittsburgh, PA, Cleveland, OH, or Dallas, TX. For this role on this particular client engagement, employer sponsorship of immigration is not available.

Requirements

Bachelor's degree in computer science, computer engineering, or relevant field.
A minimum of 6 + years experience as a Data Engineer or similar role with 1 2 years specifically focused on GenAI or AI/ML projects
Strong knowledge data architecture in banking domain.
4+ Years Work Experience in Python, Mongo
Strong hands on experience with Microsoft Azure
Integrate LLMs with enterprise datasets using Azure Open AI.
Understanding of agentic frameworks (such as AutoGen or LangGraph, MCP)
ML: Familiar with CI/CD Pipeline, Jenkin, Model Training, Model Deployment
GenAI: Knowledge in LLM Models, Langchain , Hugingface
Excellent organizational and analytical abilities.
Outstanding problem solver.
Good written and verbal communication skills

Nice To Haves

AutoGen
Azure
Communication
Generative AI
GraphQL
Jenkins
LangGraph
Large Language Model (LLM)
Machine Learning
Model Context Protocol Client
Model Context Protocol Servers
Model Prototyping
Python
MongoDB

Responsibilities

Maintain existing predictive models while architecting for the future. This role will require architecting application that works as an integration of predictive model and generative AI.
Strong experience in building and deploying predictive models based on Random Forest, Linear Regression etc. for problems such as fraud detection, anomaly detection, churn prediction etc. at enterprise scale
Develop robust and scalable pipelines for data preprocessing, model training, and deployment.
Strong programming skills in Python and in similar languages.
Familiarity with machine learning frameworks like PyTorch.
Hands on experience with generative AI models such as GPT.
Understanding of MLOps practices for building scalable AI pipelines.
Solid understanding of natural language processing (NLP) and AI ethics.
Translate complex requirements into scalable and efficient architecture
Design and implement scalable ML pipelines with CI/CD automation, efficient model training, validation, and deployment across enterprise environments
Excellent Communication and Leadership qualities to work independently with minimal supervision.